Human pose estimation aims at predicting the poses of human body parts in images or
videos. Since pose motions are often driven by some specific human actions, knowing the …

Estimating the pose of a human in 3D given an image or a video has recently received
significant attention from the scientific community. The main reasons for this trend are the …

Abstract Model-based 3D pose and shape estimation methods reconstruct a full 3D mesh for
the human body by estimating several parameters. However, learning the abstract …

Although significant improvement has been achieved recently in 3D human pose estimation,
most of the previous methods only treat a single-person case. In this work, we firstly propose …

State-of-the-art human pose estimation methods are based on heat map representation. In
spite of the good performance, the representation has a few issues in nature, such as non …

Direct prediction of 3D body pose and shape remains a challenge even for highly
parameterized deep learning models. Mapping from the 2D image space to the prediction …

Following the success of deep convolutional networks, state-of-the-art methods for 3d
human pose estimation have focused on deep end-to-end systems that predict 3d joint …

We present the first real-time method to capture the full global 3D skeletal pose of a human
in a stable, temporally consistent manner using a single RGB camera. Our method combines …

We describe the first method to automatically estimate the 3D pose of the human body as
well as its 3D shape from a single unconstrained image. We estimate a full 3D mesh and …

Estimating human pose, shape, and motion from images and video are fundamental
challenges with many applications. Recent advances in 2D human pose estimation use …